Jan David Hüwel

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Discovering Structural Regularities in Time Series via Gaussian Processes.

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[DOI]

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Gaussian Process Component Mining with the Apriori Algorithm.

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[DOI]

Proceedings of the Database and Expert Systems Applications, 2023

2022

Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms.

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[DOI]

SN Comput. Sci., 2022

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling.

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[DOI]

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

A Comparative Performance Analysis of Fast K-Means Clustering Algorithms.

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[DOI]

Proceedings of the Information Integration and Web Intelligence, 2022

Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification.

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[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

Tracing Patterns in Electrophysiological Time Series Data.

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[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets.

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[DOI]

Proceedings of the Database and Expert Systems Applications, 2022

2021

On Kernel Search Based Gaussian Process Anomaly Detection.

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[DOI]

Andreas Besginow

Markus Lange-Hegermann

Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2021

LOGIC: Probabilistic Machine Learning for Time Series Classification.

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[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Automated Kernel Search for Gaussian Processes on Data Streams.

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[DOI]